Companies and organizations like NVIDIA, Openai, Microsoft, Meta, Google, or Anthropic have dominated AI news over the past year. This dominance is now challenged by Chinese AI startup DeepSeq and its large language models.
What is DeepSec?
The AI startup was founded in 2023 by Liang Wenfeng. It received funding from Chinese hedge fund High-Flyer, which was founded in 2015. Wenfeng is the co-founder of a hedge fund.
deepsec Has developed many large language models, which it also calls DeepSeq. The latest models are DeepSec V3 and DeepSec R1.
Why is DeepSec in the news?
The startup claims that its latest large language model was developed in just two months at a cost of less than $6 million. If true, the development costs would be a fraction of what current AI pioneers have to pay to develop new models.
Additionally, DeepSeq v3, its latest large language model, has outperformed several models from US companies in publicly accessible benchmarks.
Chatbot ArenaA ranking website affiliated with UC Berkeley has two DeepSeq models listed in the top ten. While Chat and Gemini have been placed above it in the leaderboard, competitors like XAI’s Grok or Anthropic’s Cloud have dropped in the rankings as a result.
Startup Application for apple devices It has overtaken other AI apps in the productivity category on Apple’s App Store. on androidIt has claimed the top 3 position in the productivity category.
Why DeepSec is challenging the dominance of US AI companies
DeepSeq’s large language models cost much less than other models. According to a research paper released last month, DeepSec said it spent less than $6 million on the development of the V3 model.
Questions are now raised about the money that companies like OpenAI, Microsoft, or Google are spending on AI model development and data centers in comparison.
deep boundaries
While DeepSec’s AI model is challenged by competitors’ models in most areas, it faces other limitations compared to Western counterparts. One of these is that it ignores any topic that is important to China according to the report.
DeepSec requires an account, but the registration process is experiencing technical issues at the time of writing. Attempts to sign-up using an email address “Sorry! We’re having trouble sending you a verification code right now. Please try again later.” Error message.
concluding words
The coming months will reveal whether DeepSec is promoting another technological development in AI, one that could significantly reduce the cost factor and speed up development at the same time.
Have you already tried DeepSec? What’s your take on the startup’s AI model? Feel free to leave a comment below.
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